AI/ML and Analytics | AdeptInterns

What You’ll Learn

This comprehensive course equips you with in-depth knowledge of AI, Machine Learning, and Analytics—including predictive modeling, neural networks, and data visualization techniques.

Introduction to AI & ML: Understand the foundational principles of artificial intelligence and machine learning.

Data Preprocessing: Learn to clean, prepare, and manage large datasets effectively.

Supervised & Unsupervised Learning: Apply algorithms for classification and clustering tasks.

Deep Learning & Neural Networks: Develop and train sophisticated AI models.

Data Visualization: Extract insights and create compelling visual representations using Python and Tableau.

Ideal for data enthusiasts, engineers, and professionals seeking to advance their skills in AI, ML, and data analytics.

Course Content

Introduction to core AI and ML concepts
Data preprocessing and feature engineering techniques
Principles of supervised and unsupervised learning

Deep learning fundamentals and neural network architectures
Time series forecasting and analysis
Applications of Natural Language Processing (NLP)

Creating data visualizations with Python and Tableau
Designing and deploying AI-driven solutions
Real-world case studies demonstrating business applications

Requirements

Basic understanding of programming principles
Familiarity with statistics and data analysis concepts
A strong interest in AI and machine learning technologies
Prior experience with Python or R is helpful but not mandatory

Description

Build a solid foundation in AI and ML methodologies
Master advanced techniques such as deep learning and neural networks
Enhance analytical capabilities through data preprocessing and feature engineering
Gain hands-on experience with Python and Tableau for insightful visualizations
Apply your learning to real-world scenarios through practical case studies